Insights

jev-desktop, mobile-jev, jev-voice-browser and ego-jev use Jev to pick the next UI action. Here is what each README proves, what it discloses, and where it stops.

Semantic filters inside SQL, a LlamaIndex reranker and router, and a dataset sifter: three Jev projects that put typed decisions into data pipelines, with their real limits.

Typed probabilities make cheap guardrails possible: injection screens, risk scores on tool calls, gateways. What jev-guard and Safer with Jev show, and what they don't.

Scores, not prose: how two Jev Review tools, a GitHub Action and a flash-review engine turn code review into typed signals a coding agent can act on.

browser-use's jev-ultrafast lets Jev pick the next DOM action while a small model types. The author test shows 9.45s to 7.09s, from three run pairs. Here is what that does and doesn't show.

jevpilot, jev-gomoku, jevarena and two trading repos push Jev into tight decision loops. What they demonstrate, what they don't prove, and why trading needs extra care.

Three open-source routers use Jev to decide where a request goes. One reports a 60% list-price saving from a replay of 237 turns. The fine print matters as much as the number.

Blink walks file trees and neo4jev walks Neo4j graphs by asking Jev which branch to take next. How index-free navigation works, and what the demos do not prove.

A Study.com survey found over a quarter of teachers have caught a student cheating with ChatGPT. Here's what that number actually measures — and what it doesn't.

Agents parse free text to make routing and gating calls. A typed decision layer returns a choice plus probabilities instead. See how two small Jev projects show the difference.

Jev is TypeSafe AI's System One model: it returns typed choices, scores and yes/no answers with probabilities instead of text. Here is what that means and who is building on it.

typesafe-mcp, jev-mcp, jevwire and Jevbridge all expose Jev as a decision tool. Here is how they differ, what each ships, and which claims are still unproven.